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ORCIDMatthias Nießner
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- affiliation: Technical University of Munich, Germany
- affiliation (former): Stanford University
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2020 – today
- 2024
[j45]Ryan Po, Wang Yifan
, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024)- [c140]Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Nießner:
DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking. CVPR 2024: 1111-1122 - [c139]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CVPR Workshops 2024: 4356-4366 - [c138]Lukas Höllein, Aljaz Bozic, Norman Müller, David Novotný, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner:
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. CVPR 2024: 5043-5052 - [c137]Peter Kocsis, Vincent Sitzmann, Matthias Nießner:
Intrinsic Image Diffusion for Indoor Single-view Material Estimation. CVPR 2024: 5198-5208 - [c136]Tobias Kirschstein, Simon Giebenhain, Matthias Nießner:
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars. CVPR 2024: 5481-5492 - [c135]Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias Nießner, Yannick Hold-Geoffroy:
LightIt: Illumination Modeling and Control for Diffusion Models. CVPR 2024: 9359-9369 - [c134]Norman Müller, Katja Schwarz, Barbara Rössle, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
MultiDiff: Consistent Novel View Synthesis from a Single Image. CVPR 2024: 10258-10268 - [c133]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. CVPR 2024: 10747-10758 - [c132]Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner:
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CVPR 2024: 19615-19625 - [c131]Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner:
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians. CVPR 2024: 20299-20309 - [c130]Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang:
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-Rigid Shape Reconstruction and Tracking. CVPR 2024: 20496-20506 - [c129]Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner:
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis. CVPR 2024: 20507-20518 - [c128]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CVPR 2024: 21081-21091 - [c127]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. ECCV (18) 2024: 54-72 - [c126]Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky:
TriPlaneNet: An Encoder for EG3D Inversion. WACV 2024: 3043-3053 - [i159]Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang:
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking. CoRR abs/2401.06614 (2024) - [i158]Lukas Höllein, Aljaz Bozic, Norman Müller, David Novotný, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner:
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. CoRR abs/2403.01807 (2024) - [i157]Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias Nießner, Yannick Hold-Geoffroy:
LightIt: Illumination Modeling and Control for Diffusion Models. CoRR abs/2403.10615 (2024) - [i156]Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov:
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans. CoRR abs/2403.16318 (2024) - [i155]Kutay Yilmaz, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov:
DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping. CoRR abs/2403.17550 (2024) - [i154]Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner:
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. CoRR abs/2403.19319 (2024) - [i153]Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu:
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR abs/2405.10255 (2024) - [i152]Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner:
NPGA: Neural Parametric Gaussian Avatars. CoRR abs/2405.19331 (2024) - [i151]Tobias Kirschstein, Simon Giebenhain, Jiapeng Tang, Markos Georgopoulos, Matthias Nießner:
GGHead: Fast and Generalizable 3D Gaussian Heads. CoRR abs/2406.09377 (2024) - [i150]Norman Müller, Katja Schwarz, Barbara Roessle, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
MultiDiff: Consistent Novel View Synthesis from a Single Image. CoRR abs/2406.18524 (2024) - [i149]Paul Ungermann, Armin Ettenhofer, Matthias Nießner, Barbara Roessle:
Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors. CoRR abs/2408.11697 (2024) - [i148]Adil Meric, Umut Kocasari, Matthias Nießner, Barbara Roessle:
G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles. CoRR abs/2408.13508 (2024) - 2023
- [j44]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1320-1327 (2023) - [j43]Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit:
Deep-Learning-Based 3-D Surface Reconstruction - A Survey. Proc. IEEE 111(11): 1464-1501 (2023) - [j42]Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. ACM Trans. Graph. 42(4): 92:1-92:16 (2023) - [j41]Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner:
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. ACM Trans. Graph. 42(4): 160:1-160:12 (2023) - [j40]Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner:
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. ACM Trans. Graph. 42(4): 161:1-161:14 (2023) - [j39]Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. ACM Trans. Graph. 42(6): 207:1-207:14 (2023) - [c125]Shivangi Aneja, Chris Bregler, Matthias Nießner:
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning. AAAI 2023: 14084-14092 - [c124]Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen:
Generating Context-Aware Natural Answers for Questions in 3D Scenes. BMVC 2023: 596-597 - [c123]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Learning 3D Scene Priors with 2D Supervision. CVPR 2023: 792-802 - [c122]Davide Cozzolino, Alessandro Pianese, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CVPR Workshops 2023: 943-952 - [c121]Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CVPR 2023: 4328-4338 - [c120]Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder:
Panoptic Lifting for 3D Scene Understanding with Neural Fields. CVPR 2023: 9043-9052 - [c119]Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. CVPR 2023: 13082-13091 - [c118]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR 2023: 13510-13519 - [c117]Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. CVPR 2023: 16836-16846 - [c116]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. CVPR 2023: 21003-21012 - [c115]Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai:
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. ICCV 2023: 12-22 - [c114]Barbara Roessle, Matthias Nießner:
End2End Multi-View Feature Matching with Differentiable Pose Optimization. ICCV 2023: 477-487 - [c113]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. ICCV 2023: 7875-7886 - [c112]Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. ICCV 2023: 14254-14264 - [c111]Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang:
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. ICCV 2023: 18063-18073 - [c110]Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. ICCV 2023: 18512-18522 - [c109]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. ICCV 2023: 20132-20142 - [c108]Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner:
How to Boost Face Recognition with StyleGAN? ICCV 2023: 20867-20877 - [c107]Abdullah Hamdi, Bernard Ghanem, Matthias Nießner:
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images. ICCV (Workshops) 2023: 2922-2932 - [c106]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS 2023 - [c105]Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS 2023 - [c104]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. NeurIPS 2023 - [c103]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. SIGGRAPH (Conference Paper Track) 2023: 70:1-70:11 - [i147]Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. CoRR abs/2301.11445 (2023) - [i146]Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner:
S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. CoRR abs/2302.03640 (2023) - [i145]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR abs/2302.14746 (2023) - [i144]Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. CoRR abs/2303.11396 (2023) - [i143]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR abs/2303.11989 (2023) - [i142]Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky:
TriPlaneNet: An Encoder for EG3D Inversion. CoRR abs/2303.13497 (2023) - [i141]Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner:
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis. CoRR abs/2303.14207 (2023) - [i140]Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. CoRR abs/2303.17015 (2023) - [i139]Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner:
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. CoRR abs/2305.03027 (2023) - [i138]Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner:
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. CoRR abs/2305.06356 (2023) - [i137]Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. CoRR abs/2306.06044 (2023) - [i136]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR abs/2306.09011 (2023) - [i135]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. CoRR abs/2306.09077 (2023) - [i134]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR abs/2306.16329 (2023) - [i133]Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR abs/2307.01831 (2023) - [i132]Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai:
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. CoRR abs/2308.11417 (2023) - [i131]Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i130]Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen:
Generating Context-Aware Natural Answers for Questions in 3D Scenes. CoRR abs/2310.19516 (2023) - [i129]Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner:
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CoRR abs/2311.15475 (2023) - [i128]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CoRR abs/2311.17261 (2023) - [i127]Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov:
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR abs/2311.18494 (2023) - [i126]Tobias Kirschstein, Simon Giebenhain, Matthias Nießner:
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars. CoRR abs/2311.18635 (2023) - [i125]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CoRR abs/2312.00195 (2023) - [i124]Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Nießner:
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking. CoRR abs/2312.01068 (2023) - [i123]Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner:
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians. CoRR abs/2312.02069 (2023) - [i122]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. CoRR abs/2312.06740 (2023) - [i121]Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li:
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR abs/2312.07231 (2023) - [i120]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models. CoRR abs/2312.08459 (2023) - [i119]Antonio Alliegro, Yawar Siddiqui, Tatiana Tommasi, Matthias Nießner:
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models. CoRR abs/2312.11417 (2023) - [i118]Peter Kocsis, Vincent Sitzmann, Matthias Nießner:
Intrinsic Image Diffusion for Single-view Material Estimation. CoRR abs/2312.12274 (2023) - [i117]Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Nießner:
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs. CoRR abs/2312.14140 (2023) - 2022
- [j38]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. Comput. Graph. Forum 41(2): 703-735 (2022) - [c102]Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato:
On the Exploitation of Deepfake Model Recognition. CVPR Workshops 2022: 61-70 - [c101]Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CVPR 2022: 3961-3970 - [c100]Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CVPR 2022: 4012-4021 - [c99]Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CVPR 2022: 6188-6198 - [c98]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CVPR 2022: 6280-6291 - [c97]Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner:
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CVPR 2022: 12882-12891 - [c96]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CVPR 2022: 18632-18643 - [c95]Shivangi Aneja, Lev Markhasin, Matthias Nießner:
TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations. ECCV (14) 2022: 58-75 - [c94]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. ECCV (3) 2022: 72-88 - [c93]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. ECCV (27) 2022: 425-443 - [c92]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. ECCV (3) 2022: 485-502 - [c91]Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang:
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding. ECCV (32) 2022: 487-505 - [c90]Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. ECCV (32) 2022: 543-560 - [c89]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. ECCV (31) 2022: 665-680 - [c88]Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi:
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS 2022 - [c87]Biao Zhang, Matthias Nießner, Peter Wonka:
3DILG: Irregular Latent Grids for 3D Generative Modeling. NeurIPS 2022 - [c86]Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner:
Neural Shape Deformation Priors. NeurIPS 2022 - [c85]Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian:
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels. SIGGRAPH Asia 2022: 11:1-11:9 - [i116]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. CoRR abs/2203.03949 (2022) - [i115]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. CoRR abs/2203.17178 (2022) - [i114]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. CoRR abs/2204.02411 (2022) - [i113]Davide Cozzolino, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CoRR abs/2204.03083 (2022) - [i112]Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CoRR abs/2204.03593 (2022) - [i111]